Ashish Gupta
Artificial Intelligence · with Krishna · 2020
A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Neural Architecture Search & AutoML — 13 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 7 citations into it
- Generative Models — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Ashish Gupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ronald J. Williams
- Alex Krizhevsky
- Barret Zoph
- Quoc V. Le
- Karen Simonyan
- James Bergstra
- Kaiming He
Papers from Ashish Gupta's perspective
Ordered by how strongly the researchers Ashish Gupta trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)